Nonlinear models for repeated measurement data
By: Marie Davidian, David M. Giltinan.
Contributors: Giltinan, David M.
Series: Monographs on statistics and applied probability ;; 62
Publisher: Chapman & Hall/CRC
Published: 1998
Place of publication: Boca Raton, Fla
Language: eng
Number of pages: 359
Subjects: Multivariate analysis.; Experimental design.
Description: Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects model and its extensions.

A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.
Notes: Includes bibliographical references (p. [333]-348) and index.
"First CRC Press reprint 1998"--T.p. verso.